Junior Data Scientist
Hastings Insurance Services Limited
London, GB
11d ago

The Role

Our aim is to continue being the data and analytics leader in the UK general insurance market and this role holds responsibility to implement a vast range of statistical modelling and machine learning techniques, predicting customer behaviour and optimising every price to maximise our customer value.

The Data Science team work collaboratively with our pricing, fraud, marketing and underwriting teams to produce bespoke models, customer insight and data products to effectively target prospects and support in risk assessment.

  • Your remit will include the following;
  • Develop predictive models and algorithms to support business decisions
  • Work with business domains to help shape the right questions
  • Driving innovation and R&D within the organisation to leverage bespoke and scalable Big Data platforms
  • Mine large & growing volumes of data to find actionable insights to drive ongoing improvements
  • Be part of a production oriented team
  • Clear presentation of findings and guiding next steps at various points in product lifecycle
  • Run optimisations to achieve commercial trading objectives and spot market opportunities
  • About us

    Hastings Direct is a fast growing, agile, digitally focused general insurance provider of products and services to over 2.

    7 million customers in the UK. We've significantly grown our customer base over the last three years and we now employ over 3,400 colleagues

    It's our attitude and the way we run our business that makes us different. We focus on getting it right for our colleagues, customers, company and community.

    It's a dynamic, flexible, fun and constantly changing environment. You'll enjoy the scope to make a real difference for our customers, influence our company, benefit the communities we work in and have some fun along the way.

    Required experience

  • A BSc / MSc in Statistics / Computer Science / Physics / Operational Research / Engineering / Maths or other quantitative field (a PhD is a major plus)
  • Good knowledge of what's "Under the hood" of statistical methods (and preferably knowing how to utilize them in R, Python or equivalent).
  • Strong knowledge of SQL. HiveQL advantageous.
  • The desire to learn & keep up with the latest technologies to stay ahead of the curve
  • Ability to time manage and a hunger to learn within a collaborative team
  • Experience of Spark / Distributed Computing desirable.
  • Personal attributes

  • As a growing business, your role can really help make an impact on both the development and delivery of this function it will be exciting, busy, varied and challenging so a roll sleeves up, hands-
  • on approach is an absolute must.

  • Natural problem solver who communicates effectively to all stakeholders.
  • This is a dynamic, fast paced working environment candidates should be comfortable working within that setting and demonstrate a proactive working style.
  • Great attention to detail systematic approach to managing your workload.
  • Embraces opportunities to develop and learn shows a great level of self-awareness and drive.
  • Benefits for you

  • Please find some of the great benefits we offer here at Hastings Direct;
  • Competitive basic salary which we will share with you upon shortlisting, but do feel free to email the Recruitment team for more details in advance of your application
  • Flexible working opportunities working 1-2 days a week from home
  • Study support time
  • Up to 5% bonus earning potential
  • Life assurance
  • Competitive pension
  • Flexible benefits buy or sell holidays
  • Discounted Hastings Direct products
  • Discounted rail travel
  • Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion / belief, sexual orientation, gender reassignment or marital / family status.

    Please also note that we have a thorough referencing process, which includes credit and criminal record checks.

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